Websoft: Publications

Conference Papers#

2024#

Guangyao Li, Zequn Sun, Wei Hu, Gong Cheng, Yuzhong Qu: Position-Aware Relational Transformer for Knowledge Graph Embedding. IEEE Trans. Neural Netw. Learn. Syst.
Yi Liu, Xiangyu Liu, Xiangrong Zhu, Wei Hu: Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation. Proc. ACL
Wei Cheng, Yuhan Wu, Wei Hu: Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion. Proc. ACL
Jianhao Chen, Haoyuan Ouyang, Junyang Ren, Wentao Ding, Wei Hu, Yuzhong Qu: Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction. Proc. ACL
Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu: QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction. Proc. ACL
Xiaxia Wang, Gong Cheng: A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions. Proc. IJCAI
Qiaosheng Chen, Jiageng Chen, Xiao Zhou, Gong Cheng: Enhancing Dataset Search with Compact Data Snippets. Proc. SIGIR
Qiaosheng Chen, Weiqing Luo, Zixian Huang, Tengteng Lin, Xiaxia Wang, Ahmet Soylu, Basil Ell, Baifan Zhou, Evgeny Kharlamov, Gong Cheng: ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries. Proc. SIGIR
Xindi Luo, Zequn Sun, Jing Zhao, Zhe Zhao, Wei Hu: KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation. Proc. NAACL
Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang: Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. Proc. NAACL
Wentao Ding, Jinmao Li, Liangchuan Luo, Yuzhong Qu: Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval. Proc. WWW
Xiaoqing Wang, Gong Cheng: A Fast Hop-Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem. Proc. WWW
Zixian Huang, Gengyang Xiao, Yu Gu, Gong Cheng: A Branching Decoder for Set Generation. Proc. ICLR
Xiaobin Tian, Zequn Sun, Wei Hu: Generating Explanations to Understand and Repair Embedding-Based Entity Alignment. Proc. ICDE
Xiangyu Liu, Yang Liu, Wei Hu: Knowledge Graph Error Detection with Contrastive Confidence Adaption. Proc. AAAI

2023#

Xiang Huang, Sitao Cheng, Yuheng Bao, Shanshan Huang, Yuzhong Qu: MarkQA: A large scale KBQA dataset with numerical reasoning. Proc. EMNLP
Zitao Wang, Xinyi Wang, Wei Hu: Continual Event Extraction with Semantic Confusion Rectification. Proc. EMNLP
Weiqing Luo, Qiaosheng Chen, Zhiyang Zhang, Zixian Huang, Gong Cheng: An Empirical Investigation of Implicit and Explicit Knowledge-Enhanced Methods for Ad Hoc Dataset Retrieval. Findings of EMNLP
Qiaosheng Chen, Zixian Huang, Zhiyang Zhang, Weiqing Luo, Tengteng Lin, Qing Shi, Gong Cheng: Dense Re-Ranking with Weak Supervision for RDF Dataset Search. Proc. ISWC (Best Research Paper Nominee)
Qing Shi, Junrui Wang, Jeff Z. Pan, Gong Cheng: VOYAGE: A Large Collection of Vocabulary Usage in Open RDF Datasets. Proc. ISWC
Zixian Huang, Jiaying Zhou, Chenxu Niu, Gong Cheng: Spans, Not Tokens: A Span-Centric Model for Multi-Span Reading Comprehension. Proc. CIKM
Zixian Huang, Jiaying Zhou, Gengyang Xiao, Gong Cheng: Enhancing In-Context Learning with Answer Feedback for Multi-span Question Answering. Proc. NLPCC
Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou: Enabling Abductive Learning to Exploit Knowledge Graph. Proc. IJCAI
Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu: Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. Proc. KDD
Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu: What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings. Proc. ICML
Wenzheng Zhao, Yuanning Cui, Wei Hu: Improving Continual Relation Extraction by Distinguishing Analogous Semantics. Proc. ACL
Xinyi Wang, Zitao Wang, Wei Hu: Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction. Findings of ACL
Xiangrong Zhu, Guangyao Li, Wei Hu: Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning. Proc. WWW
Ziyang Li, Yu Gu, Yulin Shen, Wei Hu, Gong Cheng: TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs. Proc. WWW
Ke Zhang, Xiaoqing Wang, Gong Cheng: Efficient Approximation Algorithms for the Diameter-Bounded Max-Coverage Group Steiner Tree Problem. Proc. WWW
Haipeng Dai, Lei Meng, Hancheng Wang, Rong Gu, Siwen Chen, Feng Chen, Wei Hu: Distantly Supervised Entity Linking with Selection Consistency Constraint. Proc. DASFAA
Jianhao Chen, Junyang Ren, Wentao Ding, Yuzhong Qu: PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs. Proc. AAAI
Xiang Huang, Sitao Cheng, Yiheng Shu, Yuheng Bao, Yuzhong Qu: Question Decomposition Tree for Answering Complex Questions over Knowledge Bases. Proc. AAAI
Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu: Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. Proc. AAAI
Xiao Li, Yin Zhu, Sichen Liu, Jiangzhou Ju, Yuzhong Qu, Gong Cheng: DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data. Proc. AAAI

2022#

Wentao Ding, Hao Chen, Huayu Li, Yuzhong Qu: Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs. Proc. EMNLP
Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin: TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base. Proc. EMNLP
Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu: Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. Proc. NeurIPS
Yang Liu, Xiaoxia Jiang, Wenzheng Zhao, Weiyi Ge, Wei Hu: Dual Graph Convolutional Networks for Document-Level Event Causality Identification. Proc. APWeb
Xinyi Wang, Zitao Wang, Weijian Sun, Wei Hu: Enhancing Document-Level Relation Extraction by Entity Knowledge Injection. Proc. ISWC
Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu: Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs. Proc. ISWC
Xindi Luo, Zequn Sun, Wei Hu: μ KG: A Library for Multi-source Knowledge Graph Embeddings and Applications. Proc. ISWC
Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Gong Cheng, Ernesto Jiménez-Ruiz, Egor V. Kostylev, Evgeny Kharlamov: Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case. Proc. ISWC
Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Xianda Zheng, Gong Cheng, Ahmet Soylu, Evgeny Kharlamov: Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring. Proc. ISWC
Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu: Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. Proc. CIKM
Yang Liu, Zequn Sun, Guangyao Li, Wei Hu: I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. Proc. CIKM
Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou: Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. Proc. CIKM
Xixin Hu, Xuan Wu, Yiheng Shu, Yuzhong Qu: Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases. Proc. COLING
Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen: Understanding and Improving Knowledge Graph Embedding for Entity Alignment. Proc. ICML
Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu, Evgeny Kharlamov: ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval. Proc. SIGIR
Zixian Huang, Ao Wu, Jiaying Zhou, Yu Gu, Yue Zhao, Gong Cheng: Clues Before Answers: Generation-Enhanced Multiple-Choice QA. Proc. NAACL
Xiao Li, Gong Cheng, Ziheng Chen, Yawei Sun, Yuzhong Qu: AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension. Proc. ACL
Yao Zhao, Jiacheng Huang, Wei Hu, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren: Implicit Relation Linking for Question Answering over Knowledge Graph. Findings of ACL
Wei Cheng, Xiangrong Zhu, Wei Hu: Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph. Proc. ICSE
Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren: Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data. Proc. WWW
Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou: Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. Proc. AAAI
Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou: Informed Multi-context Entity Alignment. Proc. WSDM

2021#

Kailong Hao, Botao Yu, Wei Hu: Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction. Proc. EMNLP
Wentao Ding, Jianhao Chen, Jinmao Li, Yuzhong Qu: Automatic rule generation for time expression normalization. Findings of EMNLP
Zixian Huang, Ao Wu, Yulin Shen, Gong Cheng, Yuzhong Qu: When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions. Findings of EMNLP
Xixin Hu, Yiheng Shu, Xiang Huang, Yuzhong Qu: EDG-Based Question Decomposition for Complex Question Answering over Knowledge Bases. Proc. ISWC
Xiaxia Wang, Gong Cheng, Tengteng Lin, Jing Xu, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu: PCSG: Pattern-Coverage Snippet Generation for RDF Datasets. Proc. ISWC
Yulin Shen, Ziheng Chen, Gong Cheng, Yuzhong Qu: CKGG: A Chinese Knowledge Graph for High-School Geography Education and Beyond. Proc. ISWC (Best Resource Paper Nominee)
Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov: Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. Proc. IJCAI
Zequn Sun, Muhao Chen, Wei Hu: Knowing the No-match: Entity Alignment with Dangling Cases. Proc. ACL
Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov, Yulin Shen: Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration. Proc. WWW
Xiao Li, Yawei Sun, Gong Cheng: TSQA: Tabular Scenario Based Question Answering. Proc. AAAI

2020#

Difeng Wang, Wei Hu, Ermei Cao, Weijian Sun: Global-to-Local Neural Networks for Document-Level Relation Extraction. Proc. EMNLP
Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang: Knowledge Association with Hyperbolic Knowledge Graph Embeddings. Proc. EMNLP
Gong Cheng, Shuxin Li, Ke Zhang, Chengkai Li: Generating Compact and Relaxable Answers to Keyword Queries over Knowledge Graphs. Proc. ISWC
Xinze Lyu, Guangyao Li, JiaCheng Huang, Wei Hu: Rule-Guided Graph Neural Networks for Recommender Systems. Proc. ISWC
Shengguang Qiu, Botao Yu, Lei Qian, Qiang Guo, Wei Hu: Joint Reasoning of Events, Participants and Locations for Plot Relation Recognition. Proc. APWeb
Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen: Neural Entity Summarization with Joint Encoding and Weak Supervision. Proc. IJCAI
Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna: Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. Proc. IJCAI
Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li: Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study. Proc. SIGMOD
Qingxia Liu, Gong Cheng, Kalpa Gunaratna, Yuzhong Qu: ESBM: An Entity Summarization BenchMark. Proc. ESWC (Best Resource Paper Nominee)
Qingxia Liu, Yue Chen, Gong Cheng, Evgeny Kharlamov, Junyou Li, Yuzhong Qu: Entity Summarization with User Feedback. Proc. ESWC (Best Research Paper Award)
JiaCheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu: Crowdsourced Collective Entity Resolution with Relational Match Propagation. Proc. ICDE
Yuxuan Shi, Gong Cheng, Evgeny Kharlamov: Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings. Proc. WWW
Ermei Cao, Difeng Wang, JiaCheng Huang, Wei Hu: Open Knowledge Enrichment for Long-tail Entities. Proc. WWW
Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu: Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. Proc. AAAI
Yawei Sun, Lingling Zhang, Gong Cheng, Yuzhong Qu: SPARQA: Skeleton-Based Semantic Parsing for Complex Questions over Knowledge Bases. Proc. AAAI
Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei: GREASE: A Generative Model for Relevance Search over Knowledge Graphs. Proc. WSDM

2019#

Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu: Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering. Proc. EMNLP
Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu: Mapping Factoid Adjective Constraints to Existential Restrictions over Knowledge Bases. Proc. ISWC
Zequn Sun, JiaCheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu: TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs. Proc. ISWC
Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu: A Framework for Evaluating Snippet Generation for Dataset Search. Proc. ISWC
Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu: Multi-view Knowledge Graph Embedding for Entity Alignment. Proc. IJCAI
Lingbing Guo, Zequn Sun, Wei Hu: Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. Proc. ICML
Yu Gu, Tianshuo Zhou, Gong Cheng, Ziyang Li, Jeff Z. Pan, Yuzhong Qu: Relevance Search over Schema-Rich Knowledge Graphs. Proc. WSDM
Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu: A Pattern-Based Approach to Recognizing Time Expressions. Proc. AAAI

2018#

Yu Gu, Yue Liang, Gong Cheng, Daxin Liu, Ruidi Wei, Yuzhong Qu: Diversified and Verbalized Result Summarization for Semantic Association Search. Proc. WISE
Yawei Sun, Gong Cheng, Yuzhong Qu: Reading Comprehension with Graph-based Temporal-Casual Reasoning. Proc. COLING (Area Chair Favorites)
Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu: Bootstrapping Entity Alignment with Knowledge Graph Embedding. Proc. IJCAI
JiaCheng Huang, Wei Hu, Haoxuan Li, Yuzhong Qu: Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution. Proc. SIGIR
Jiwei Ding, Yuan Wang, Wei Hu, Linfeng Shi, Yuzhong Qu: Answering Multiple-Choice Questions in Geographical Gaokao with a Concept Graph. Proc. ESWC

2017#

Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu: PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking. Proc. ISWC
Zequn Sun, Wei Hu, Chengkai Li: Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding. Proc. ISWC
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit P. Sheth, Gong Cheng: Relatedness-based Multi-Entity Summarization. Proc. IJCAI
Wenqiang Liu, Jun Liu, Haimeng Duan, Wei Hu, Bifan Wei: Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data. Proc. ESWC
Gong Cheng, Cheng Jin, Wentao Ding, Danyun Xu, Yuzhong Qu: Generating Illustrative Snippets for Open Data on the Web. Proc. WSDM

2016#

Wei Hu, Haoxuan Li, Zequn Sun, Xinqi Qian, Lingkun Xue, Ermei Cao, Yuzhong Qu: Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data. Proc. ISWC
Gong Cheng, Daxin Liu, Yuzhong Qu: Efficient Algorithms for Association Finding and Frequent Association Pattern Mining. Proc. ISWC
Gong Cheng, Weixi Zhu, Ziwei Wang, Jianghui Chen, Yuzhong Qu: Taking Up the Gaokao Challenge: An Information Retrieval Approach. Proc. IJCAI
Gong Cheng, Cheng Jin, Yuzhong Qu: HIEDS: A Generic and Efficient Approach to Hierarchical Dataset Summarization. Proc. IJCAI
Liang Zheng, Jiang Xu, Jidong Jiang, Yuzhong Qu, Gong Cheng: Iterative Entity Navigation via Co-clustering Semantic Links and Entity Classes. Proc. ESWC
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit P. Sheth, Gong Cheng: Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. Proc. ESWC

2015#

Liang Zheng, Yuzhong Qu, Jidong Jiang, Gong Cheng: Facilitating Entity Navigation Through Top-K Link Patterns. Proc. ISWC
Wei Hu, Honglei Qiu, Michel Dumontier: Link Analysis of Life Science Linked Data. Proc. ISWC
Qingxia Liu, Gong Cheng, Yuzhong Qu: On Coherent Indented Tree Visualization of RDF Graphs. Proc. APWeb
Gong Cheng, Danyun Xu, Yuzhong Qu: Summarizing Entity Descriptions for Effective and Efficient Human-centered Entity Linking. Proc. WWW
Jiwei Ding, Wentao Ding, Wei Hu, Yuzhong Qu: An EBMC-Based Approach to Selecting Types for Entity Filtering. Proc. AAAI

2014#

Wei Hu, Cunxin Jia, Lei Wan, Liang He, Lixia Zhou, Yuzhong Qu: CAMO: Integration of Linked Open Data for Multimedia Metadata Enrichment. Proc. ISWC
Gong Cheng, Yanan Zhang, Yuzhong Qu: Explass: Exploring Associations between Entities via Top-K Ontological Patterns and Facets. Proc. ISWC (Best Research Paper Nominee)
Liang Zheng, Yuzhong Qu: An EMD-Based Similarity Measure for Multi-type Entities Using Type Hierarchy. Proc. APWeb
Xiangqian Li, Jiwei Ding, Yuzhong Qu: Optimizing Alignment Selection in Ontology Matching via Homomorphism Constraint. Proc. APWeb
Saisai Gong, Wei Hu, Yuzhong Qu: Leveraging Distributed Human Computation and Consensus Partition for Entity Coreference. Proc. ESWC
Danyun Xu, Gong Cheng, Yuzhong Qu: Facilitating Human Intervention in Coreference Resolution with Comparative Entity Summaries. Proc. ESWC

2011#

Gong Cheng, Saisai Gong, Yuzhong Qu: An Empirical Study of Vocabulary Relatedness and Its Application to Recommender Systems. Proc. ISWC (Best Research Paper Nominee)
Gong Cheng, Thanh Tran, Yuzhong Qu: RELIN: Relatedness and Informativeness-Based Centrality for Entity Summarization. Proc. ISWC
Nophadol Jekjantuk, Jeff Z. Pan, Yuzhong Qu: Diagnosis of Software Models with Multiple Levels of Abstraction Using Ontological Metamodeling. Proc. COMPSAC
Wei Hu, Jianfeng Chen, Hang Zhang, Yuzhong Qu: How Matchable Are Four Thousand Ontologies on the Semantic Web. Proc. ESWC
Wei Hu, Jianfeng Chen, Yuzhong Qu: A self-training approach for resolving object coreference on the semantic web. Proc. WWW

Journal Articles#

2024#

Wei Cheng, Wei Hu, Xiaoxing Ma: Revisiting Knowledge-Based Inference of Python Runtime Environments: A Realistic and Adaptive Approach. IEEE Trans. Software Eng.
Honghu Wu, Xiangrong Zhu, Wei Hu: A Blockchain System for Clustered Federated Learning with Peer-to-Peer Knowledge Transfer. Proc. VLDB Endow.

2023#

Wentao Ding, Jianhao Chen, Longfei E, Jinmao Li, Yuzhong Qu: Time expression as update operations: Normalizing time expressions via a distantly supervised neural semantic parser. Knowl.-Based Syst.
Liyi Chen, Zhi Li, Weidong He, Gong Cheng, Tong Xu, Nicholas Jing Yuan, Enhong Chen: Entity Summarization via Exploiting Description Complementarity and Salience. IEEE Trans. Neural Netw. Learn. Syst.
Yuxin Wang, Jieru Lin, Zhiwei Yu, Wei Hu, Börje F. Karlsson: Open-world story generation with structured knowledge enhancement: A comprehensive survey. Neurocomputing
Zequn Sun, Wei Hu, Chengming Wang, Yuxin Wang, Yuzhong Qu: Revisiting Embedding-Based Entity Alignment: A Robust and Adaptive Method. IEEE Trans. Knowl. Data Eng.
Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu: Deep Active Alignment of Knowledge Graph Entities and Schemata. PACMMOD
Gong Cheng, Qingxia Liu, Yuzhong Qu: Generating Characteristic Summaries for Entity Descriptions. IEEE Trans. Knowl. Data Eng.
Xiaxia Wang, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu: BANDAR: Benchmarking Snippet Generation Algorithms for (RDF) Dataset Search. IEEE Trans. Knowl. Data Eng.
Jiacheng Huang, Wei Hu, Zhifeng Bao, Qijin Chen, Yuzhong Qu: Deep entity matching with adversarial active learning. VLDB J.

2022#

Jiwei Ding, Wei Hu, Xin Yu, Yuzhong Qu: An empirical study of representing adjectives over knowledge bases: Approach, lexicon and application. J. Web Semant.
Yawei Sun, Pengwei Li, Gong Cheng, Yuzhong Qu: Skeleton parsing for complex question answering over knowledge bases. J. Web Semant.

2021#

Jidong Ge, Yunyun Huang, Xiaoyu Shen, Chuanyi Li, Wei Hu: Learning Fine-Grained Fact-Article Correspondence in Legal Cases. IEEE/ACM Trans. Audio Speech Lang. Process.
Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov: SemML: Facilitating development of ML models for condition monitoring with semantics. J. Web Semant.
Qingxia Liu, Gong Cheng, Kalpa Gunaratna, Yuzhong Qu: Entity summarization: State of the art and future challenges. J. Web Semant.
Gong Cheng, Daxin Liu, Yuzhong Qu: Fast Algorithms for Semantic Association Search and Pattern Mining. IEEE Trans. Knowl. Data Eng.

2020#

Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li: A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. Proc. VLDB Endow.
Shuxin Li, Gong Cheng, Chengkai Li: Relaxing relationship queries on graph data. J. Web Semant.

2019#

Daxin Liu, Gong Cheng, Qingxia Liu, Yuzhong Qu: Fast and Practical Snippet Generation for RDF Datasets. ACM Trans. Web
Wenqiang Liu, Jun Liu, Bifan Wei, Haimeng Duan, Wei Hu: A new truth discovery method for resolving object conflicts over Linked Data with scale-free property. Knowl. Inf. Syst.

2018#

Wenqiang Liu, Jun Liu, Mengmeng Wu, Samar Abbas, Wei Hu, Bifan Wei, Qinghua Zheng: Representation learning over multiple knowledge graphs for knowledge graphs alignment. Neurocomputing
Saisai Gong, Wei Hu, Weiyi Ge, Yuzhong Qu: Modeling Topic-Based Human Expertise for Crowd Entity Resolution. J. Comput. Sci. Technol.
Liang Zheng, Yuzhong Qu, Gong Cheng: Leveraging link pattern for entity-centric exploration over Linked Data. World Wide Web
Liang Zheng, Yuzhong Qu, Xinqi Qian, Gong Cheng: A hierarchical co-clustering approach for entity exploration over Linked Data. Knowl. Based Syst.
Saisai Gong, Wei Hu, Haoxuan Li, Yuzhong Qu: Property Clustering in Linked Data: An Empirical Study and Its Application to Entity Browsing. Int. J. Semantic Web Inf. Syst.

2017#

Wei Hu, Amrapali Zaveri, Honglei Qiu, Michel Dumontier: Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata. BMC Bioinform.
Gong Cheng, Fei Shao, Yuzhong Qu: An Empirical Evaluation of Techniques for Ranking Semantic Associations. IEEE Trans. Knowl. Data Eng.

2015#

Gong Cheng, Danyun Xu, Yuzhong Qu: C3D+P: A summarization method for interactive entity resolution. J. Web Semant.
Wei Hu, Cunxin Jia: A bootstrapping approach to entity linkage on the Semantic Web. J. Web Semant.

2014#

Wei Hu, Rui Yang, Yuzhong Qu: Automatically generating data linkages using class-based discriminative properties. Data Knowl. Eng.
Danyun Xu, Gong Cheng, Yuzhong Qu: Preferences in Wikipedia abstracts: Empirical findings and implications for automatic entity summarization. Inf. Process. Manag.

2013#

Gong Cheng, Yuzhong Qu: Relatedness between vocabularies on the Web of data: A taxonomy and an empirical study. J. Web Semant.
Weiyi Ge, Gong Cheng, Huiying Li, Yuzhong Qu: Incorporating compactness to generate term-association view snippets for ontology search. Inf. Process. Manag.

2011#

Wei Hu, Yuzhong Qu, Xingzhi Sun: Bootstrapping Object Coreferencing on the Semantic Web. J. Comput. Sci. Technol.
Yuzhong Qu, Gong Cheng: Falcons Concept Search: A Practical Search Engine for Web Ontologies. IEEE Trans. Syst. Man Cybern. Part A